Modeling Complex Social Systems: A New Network Point of View in Labour Markets
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Título: | Modeling Complex Social Systems: A New Network Point of View in Labour Markets |
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Autor/es: | Lloret-Climent, Miguel | Nescolarde-Selva, Josué Antonio | Mora, Higinio | Alonso-Stenberg, Kristian | Mollá Sirvent, Rafael Alejandro |
Grupo/s de investigación o GITE: | Sistémica, Cibernética y Optimización (SCO) | Arquitecturas Inteligentes Aplicadas (AIA) |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Matemática Aplicada | Universidad de Alicante. Departamento de Tecnología Informática y Computación |
Palabras clave: | General systems theory | Labour markets | Social system modelling | Coverage | Invariability |
Área/s de conocimiento: | Matemática Aplicada | Arquitectura y Tecnología de Computadores |
Fecha de publicación: | 14-may-2020 |
Editor: | IEEE |
Cita bibliográfica: | IEEE Access. 2020, 8: 92110-92119. doi:10.1109/ACCESS.2020.2994622 |
Resumen: | Complex Systems is a new field of science studying how parts of a system give rise to the collective behaviours of the system, and how the system interacts with its environment. Graph theory is a fundamental tool in the study of social systems and economic issues. The input-output tables are precisely one of the main examples of it. We use the interpretation of labour market through networks to get a better understanding on its overall functioning. One benefit of the network perspective is that a large body of mathematics exists to help analyse many forms of networks models. If an economic system has a suitable model, then it becomes possible to utilize relevant mathematical tools, such as general systems theory, graph theory and discrete chaos theory, to better understand the way the labour market works. In this article, we apply concepts including structural functions, coverage and invariant sets to a social system’s modelling. |
Patrocinador/es: | This work was supported in part by the Ministry of Economic Affairs and Digital Transformation of the Spanish Government, through the Modelado del Comportamiento de Entidades Digitales Mediante Tecnologías del Lenguaje Humano Project, under Grant RTI2018-094653-B-C22, in part by the Spanish Research Agency (AEI), and in part by the European Regional Development Fund (ERDF), through the CloudDriver4Industry Project, under Grant TIN2017-89266-R. |
URI: | http://hdl.handle.net/10045/107052 |
ISSN: | 2169-3536 |
DOI: | 10.1109/ACCESS.2020.2994622 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/ |
Revisión científica: | si |
Versión del editor: | https://doi.org/10.1109/ACCESS.2020.2994622 |
Aparece en las colecciones: | INV - SYC - Artículos de Revistas INV - AIA - Artículos de Revistas |
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Lloret-Climent_etal_2020_IEEEAccess.pdf | 4,35 MB | Adobe PDF | Abrir Vista previa | |
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